Name
Title | ||
|---|---|---|
Deep Reinforcement Learning Based Volt-VAR Optimization in Smart Distribution Systems |
Abstract | ||
|---|---|---|
This paper develops a model-free volt-VAR optimization (VVO) algorithm via multi-agent deep reinforcement learning (DRL) in unbalanced distribution systems. This method is novel since we cast the VVO problem in distribution networks to an intelligent deep Q-network (DQN) framework, which avoids solving a specific optimization model directly when facing time-varying operating conditions in the systems. We consider statuses/ratios of switchable capacitors, voltage regulators, and smart inverters installed at distributed generators as the action variables of the agents. A delicately designed reward function guides these agents to interact with the distribution system, in the direction of reinforcing voltage regulation and power loss reduction simultaneously. The forward-backward sweep method for radial three-phase distribution systems provides accurate power flow results within a few iterations to the DRL environment. The proposed method realizes the dual goals for VVO. We test this algorithm on the unbalanced IEEE 13-bus and 123-bus systems. Numerical simulations validate the excellent performance of this method in voltage regulation and power loss reduction. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TSG.2020.3010130 | IEEE Transactions on Smart Grid |
Keywords | DocType | Volume |
Volt-VAR optimization,deep reinforcement learning,artificial intelligence,voltage regulation,unbalanced distribution systems,smart inverter | Journal | 12 |
Issue | ISSN | Citations |
1 | 1949-3053 | 5 |
PageRank | References | Authors |
0.42 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yingchen Zhang | 1 | 97 | 18.22 |
| Yingchen Zhang | 2 | 97 | 18.22 |
| Xinan Wang | 3 | 15 | 2.98 |
| Jun Wang | 4 | 626 | 84.82 |